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Roger Vargas

Biographic Data

ID3925210
NAMERoger Vargas
GIVEN NAMESRoger
FAMILY NAMEVargas
SIGNATUREVARGAS R
AFFILIATIONSHarvard University
ORCID0000-0002-7116-5211
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS1
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Estimation of country-specific tuberculosis resistance antibiograms using pathogen genomics and machine learning

    Open Access•Avika Dixit, Luca Freschi et al.•ARTICLE•BMJ Global Health•2024

    BACKGROUND: ) whole-genome sequencing (WGS) data, to generate expanded country-level resistance prevalence estimates (antibiograms) using in silico resistance prediction. METHODS: WGS data. We used a validated random forest model to predict phenotypic resistance to 12 drugs and bias-corrected for model performance, outbreak sampling and rifampicin resistance oversampling. Validation leveraged a national DR survey conducted in South Africa. RESULT…

  • Refining the clustering coefficient for analysis of social and neural network data

    Open Access•Roger Vargas, Roger I Vargas et al.•ARTICLE•Social Network Analysis and Mining•2016•Cited by: 1•References: 13

  • Refining the clustering coefficient for analysis of social and neural network data

    Open Access•Roger Vargas, Roger I Vargas et al.•ARTICLE•Social Network Analysis and Mining•2016•Cited by: 1•References: 13

  • Refining the clustering coefficient for analysis of social and neural network data

    Open Access•Roger Vargas, Roger I Vargas et al.•ARTICLE•Social Network Analysis and Mining•2016•Cited by: 1•References: 13

  • Estimation of country-specific tuberculosis resistance antibiograms using pathogen genomics and machine learning

    Open Access•Avika Dixit, Luca Freschi et al.•ARTICLE•BMJ Global Health•2024

    BACKGROUND: ) whole-genome sequencing (WGS) data, to generate expanded country-level resistance prevalence estimates (antibiograms) using in silico resistance prediction. METHODS: WGS data. We used a validated random forest model to predict phenotypic resistance to 12 drugs and bias-corrected for model performance, outbreak sampling and rifampicin resistance oversampling. Validation leveraged a national DR survey conducted in South Africa. RESULT…

Antibiotic resistance (1 work) · Antibiotic Use and Resistance (1 work) · Antibiotics (1 work) · Artificial Intelligence (1 work) · Bioinformatics and Genomic Networks (1 work) · Biology (1 work) · Bipartite graph (1 work) · Cartesian product (1 work) · Centrality (1 work) · Cluster analysis (1 work)

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